John T. Holodnak

Orcid: 0000-0002-6603-3046

According to our database1, John T. Holodnak authored at least 13 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Extensible Machine Learning for Encrypted Network Traffic Application Labeling via Uncertainty Quantification.
IEEE Trans. Artif. Intell., January, 2024

Model-agnostic clean-label backdoor mitigation in cybersecurity environments.
CoRR, 2024

2023
ScatterUQ: Interactive Uncertainty Visualizations for Multiclass Deep Learning Problems.
Proceedings of the 2023 IEEE Visualization and Visual Analytics (VIS), 2023

Poisoning Network Flow Classifiers.
Proceedings of the Annual Computer Security Applications Conference, 2023

2022
Backdoor Poisoning of Encrypted Traffic Classifiers.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022


2021
On the Effectiveness of Mode Exploration in Bayesian Model Averaging for Neural Networks.
CoRR, 2021

2019
An Empirical Evaluation of the Effect of Adversarial Labels on Classifier Accuracy Estimation.
Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

2018
A Probabilistic Subspace Bound with Application to Active Subspaces.
SIAM J. Matrix Anal. Appl., 2018

2016
A Model-Based Approach to Predicting the Performance of Insider Threat Detection Systems.
Proceedings of the 2016 IEEE Security and Privacy Workshops, 2016

2015
Conditioning of Leverage Scores and Computation by QR Decomposition.
SIAM J. Matrix Anal. Appl., 2015

Randomized Approximation of the Gram Matrix: Exact Computation and Probabilistic Bounds.
SIAM J. Matrix Anal. Appl., 2015

2013
Randomized Matrix Multiplication: Exact Computation and Probabilistic Bounds.
CoRR, 2013


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